Abstract: Detecting and tracking moving object is one of the key technologies in analyzing human movement, and is also an important part of intelligent monitoring system. In the part of detecting, according to characteristics of indoor monitoring, this paper puts forward the method obtaining in indoor background by statistical averaging method, and then uses background subtraction method to detect indoor moving object, and uses an improved regional growth method to connect the areas which belong to the same moving object region. In the part of tracking, this paper uses Kalman filter to predict the location′s parameters of the object. According to the predicted parameters, the system tracks human target and obtains human moving track. The system is modeled and simulated through Matlab／Simulink, and the algorithm parameters are revised accordingly. Through testing several indoor video sequences, it is shown that the algorithm can detect and track human movement correctly.

Key words: detecting and tracking for moving object, background subtraction method, Kalman filter, Simulink